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Some Experiments with Spatial Feature Extraction Methods in Multispectral Classification

机译：多光谱分类中空间特征提取方法的几点实验

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摘要

Methods are developed to extract image spatial features by means of linear and non-linear local filtering. Feature selection methods are also developed, since it is usually not possible to use all the generated features. The classification stage is performed in supervised mode through the maximum likelihood criterion. A quantitative analysis of the performance of the spatial features show that an overall increase in precision of classification is achieved, although at the expense of increased rejection levels, particularly on the borders between different fields.

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作者
Dutra, L. V.; Mascarenhas, N. D. A.;
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年度 1982
页码 p.1-26
总页数 26
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Image processing; Pattern recognition; Spatial filtering; Classifications; Maximum likelihood estimates; Quantitative analysis;

机译：图像处理;模式识别;空间滤波;分类;最大似然估计;定量分析;

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专利

1. D-SS Frame: deep spectral-spatial feature extraction and fusion for classification of panchromatic and multispectral images [J] . Teffahi Hanane, Yao Hongxun 高技术通讯（英文版） . 2018,第004期

机译：D-SS帧：深光谱空间特征提取和融合，用于全色和多光谱图像分类
2. Classification and Extraction of Spatial Features in Urban Areas Using High-Resolution Multispectral Imagery [J] . Xin Huang, Liangpei Zhang, Pingxiang Li IEEE Geoscience and Remote Sensing Letters . 2007,第期

机译：利用高分辨率多光谱图像对城市空间特征进行分类和提取
3. Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data [J] . Jimenez L.O., Rivera-Medina J.L., Rodriguez-Diaz E., IEEE Transactions on Geoscience and Remote Sensing . 2005,第4期

机译：通过无监督提取和分类对应用于多光谱和高光谱数据的同质对象进行空间和光谱信息集成
4. Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification [C] . Yanqin Tian, Ping Guo, Lyu, . 2005

机译：多光谱遥感影像分类特征提取方法的比较研究
5. New covariance-based feature extraction methods for classification and prediction of high-dimensional data. [D] . Sofolahan, Mopelola A. 2013

机译：基于协方差的新特征提取方法，用于高维数据的分类和预测。
6. Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) method [O] . Faegheh Golabi, Elnaz Mehdizadeh Aghdam, Mousa Shamsi, 2021

机译：基于基于块位置的特征提取（BLBFE）方法提取的特征的短序列作为短序列的种子成员分类
7. Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification [O] . Yanqin Tian, Ping Guo 2008

机译：多光谱遥感图像分类特征提取方法的比较研究

Some Experiments with Spatial Feature Extraction Methods in Multispectral Classification

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